Overview

Dataset statistics

Number of variables23
Number of observations4056
Missing cells5226
Missing cells (%)5.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory728.9 KiB
Average record size in memory184.0 B

Variable types

Numeric23

Alerts

Age is highly overall correlated with Work and 1 other fieldsHigh correlation
Work is highly overall correlated with AgeHigh correlation
DM is highly overall correlated with DM_Type and 1 other fieldsHigh correlation
Year_DM_Diagnosed is highly overall correlated with DM_DurationHigh correlation
DM_Duration is highly overall correlated with Year_DM_DiagnosedHigh correlation
DM_Type is highly overall correlated with DM and 1 other fieldsHigh correlation
HbA1C_Admission_Value is highly overall correlated with DM and 1 other fieldsHigh correlation
Waist is highly overall correlated with BMIHigh correlation
BMI is highly overall correlated with WaistHigh correlation
Creatinine_Clearance is highly overall correlated with AgeHigh correlation
Year_DM_Diagnosed has 1866 (46.0%) missing valuesMissing
DM_Duration has 1866 (46.0%) missing valuesMissing
HbA1C_Admission_Value has 1494 (36.8%) missing valuesMissing
Gender has 1362 (33.6%) zerosZeros
Education has 969 (23.9%) zerosZeros
Work has 2923 (72.1%) zerosZeros
Cardiac_Arrest_Admission has 3973 (98.0%) zerosZeros
Non_Cardiac_Condition has 3942 (97.2%) zerosZeros
Hypertension has 1432 (35.3%) zerosZeros
Dyslipidemia has 1766 (43.5%) zerosZeros
DM has 1883 (46.4%) zerosZeros
DM_Type has 1867 (46.0%) zerosZeros
DM_Treatment has 103 (2.5%) zerosZeros
Smoking_History has 982 (24.2%) zerosZeros
Lipid_24_Collected has 599 (14.8%) zerosZeros

Reproduction

Analysis started2023-03-28 17:16:51.109138
Analysis finished2023-03-28 17:18:36.281139
Duration1 minute and 45.17 seconds
Software versionydata-profiling vv4.0.0
Download configurationconfig.json

Variables

Gender
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.66420118
Minimum0
Maximum1
Zeros1362
Zeros (%)33.6%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-28T17:18:36.378896image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.47232719
Coefficient of variation (CV)0.71112067
Kurtosis-1.5168488
Mean0.66420118
Median Absolute Deviation (MAD)0
Skewness-0.69562877
Sum2694
Variance0.22309297
MonotonicityNot monotonic
2023-03-28T17:18:36.566302image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 2694
66.4%
0 1362
33.6%
ValueCountFrequency (%)
0 1362
33.6%
1 2694
66.4%
ValueCountFrequency (%)
1 2694
66.4%
0 1362
33.6%

Age
Real number (ℝ)

Distinct79
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.358974
Minimum18
Maximum112
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-28T17:18:36.781853image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile40
Q152
median60
Q369
95-th percentile81
Maximum112
Range94
Interquartile range (IQR)17

Descriptive statistics

Standard deviation12.726133
Coefficient of variation (CV)0.21084078
Kurtosis-0.11991294
Mean60.358974
Median Absolute Deviation (MAD)9
Skewness0.0030300895
Sum244816
Variance161.95446
MonotonicityNot monotonic
2023-03-28T17:18:37.033789image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
62 148
 
3.6%
72 138
 
3.4%
57 132
 
3.3%
60 132
 
3.3%
67 121
 
3.0%
59 119
 
2.9%
52 117
 
2.9%
56 114
 
2.8%
64 112
 
2.8%
70 111
 
2.7%
Other values (69) 2812
69.3%
ValueCountFrequency (%)
18 1
 
< 0.1%
23 1
 
< 0.1%
24 3
0.1%
25 6
0.1%
26 5
0.1%
27 4
0.1%
28 5
0.1%
29 5
0.1%
30 5
0.1%
31 7
0.2%
ValueCountFrequency (%)
112 1
 
< 0.1%
102 1
 
< 0.1%
99 5
0.1%
97 2
 
< 0.1%
96 1
 
< 0.1%
95 3
0.1%
94 6
0.1%
93 6
0.1%
92 6
0.1%
91 3
0.1%

Education
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9164201
Minimum0
Maximum5
Zeros969
Zeros (%)23.9%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-28T17:18:37.250297image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q32
95-th percentile4
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.4234834
Coefficient of variation (CV)0.74278252
Kurtosis-0.57701972
Mean1.9164201
Median Absolute Deviation (MAD)1
Skewness0.31783119
Sum7773
Variance2.0263049
MonotonicityNot monotonic
2023-03-28T17:18:37.449872image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 1965
48.4%
0 969
23.9%
4 645
 
15.9%
1 248
 
6.1%
5 164
 
4.0%
3 65
 
1.6%
ValueCountFrequency (%)
0 969
23.9%
1 248
 
6.1%
2 1965
48.4%
3 65
 
1.6%
4 645
 
15.9%
5 164
 
4.0%
ValueCountFrequency (%)
5 164
 
4.0%
4 645
 
15.9%
3 65
 
1.6%
2 1965
48.4%
1 248
 
6.1%
0 969
23.9%

Work
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.31385602
Minimum0
Maximum2
Zeros2923
Zeros (%)72.1%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-28T17:18:37.646745image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.53334237
Coefficient of variation (CV)1.6993218
Kurtosis1.2102412
Mean0.31385602
Median Absolute Deviation (MAD)0
Skewness1.4661896
Sum1273
Variance0.28445408
MonotonicityNot monotonic
2023-03-28T17:18:37.835527image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 2923
72.1%
1 993
 
24.5%
2 140
 
3.5%
ValueCountFrequency (%)
0 2923
72.1%
1 993
 
24.5%
2 140
 
3.5%
ValueCountFrequency (%)
2 140
 
3.5%
1 993
 
24.5%
0 2923
72.1%

Cardiac_Arrest_Admission
Real number (ℝ)

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.022928994
Minimum0
Maximum2
Zeros3973
Zeros (%)98.0%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-28T17:18:38.049694image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.16535103
Coefficient of variation (CV)7.2114384
Kurtosis69.458635
Mean0.022928994
Median Absolute Deviation (MAD)0
Skewness7.9312666
Sum93
Variance0.027340963
MonotonicityNot monotonic
2023-03-28T17:18:38.247141image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 3973
98.0%
1 73
 
1.8%
2 10
 
0.2%
ValueCountFrequency (%)
0 3973
98.0%
1 73
 
1.8%
2 10
 
0.2%
ValueCountFrequency (%)
2 10
 
0.2%
1 73
 
1.8%
0 3973
98.0%

Non_Cardiac_Condition
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.028106509
Minimum0
Maximum1
Zeros3942
Zeros (%)97.2%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-28T17:18:38.452968image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.16529752
Coefficient of variation (CV)5.8811117
Kurtosis30.647113
Mean0.028106509
Median Absolute Deviation (MAD)0
Skewness5.7124426
Sum114
Variance0.02732327
MonotonicityNot monotonic
2023-03-28T17:18:38.587939image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 3942
97.2%
1 114
 
2.8%
ValueCountFrequency (%)
0 3942
97.2%
1 114
 
2.8%
ValueCountFrequency (%)
1 114
 
2.8%
0 3942
97.2%

Hypertension
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6469428
Minimum0
Maximum1
Zeros1432
Zeros (%)35.3%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-28T17:18:38.770347image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.47797923
Coefficient of variation (CV)0.73882765
Kurtosis-1.6223864
Mean0.6469428
Median Absolute Deviation (MAD)0
Skewness-0.61515349
Sum2624
Variance0.22846414
MonotonicityNot monotonic
2023-03-28T17:18:39.057820image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 2624
64.7%
0 1432
35.3%
ValueCountFrequency (%)
0 1432
35.3%
1 2624
64.7%
ValueCountFrequency (%)
1 2624
64.7%
0 1432
35.3%

Dyslipidemia
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.56459566
Minimum0
Maximum1
Zeros1766
Zeros (%)43.5%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-28T17:18:39.204456image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.49587098
Coefficient of variation (CV)0.87827628
Kurtosis-1.9330084
Mean0.56459566
Median Absolute Deviation (MAD)0
Skewness-0.26066268
Sum2290
Variance0.24588802
MonotonicityNot monotonic
2023-03-28T17:18:39.340855image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 2290
56.5%
0 1766
43.5%
ValueCountFrequency (%)
0 1766
43.5%
1 2290
56.5%
ValueCountFrequency (%)
1 2290
56.5%
0 1766
43.5%

DM
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.071499
Minimum0
Maximum2
Zeros1883
Zeros (%)46.4%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-28T17:18:39.461440image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q32
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.99756365
Coefficient of variation (CV)0.9309982
Kurtosis-1.9804081
Mean1.071499
Median Absolute Deviation (MAD)0
Skewness-0.14341799
Sum4346
Variance0.99513324
MonotonicityNot monotonic
2023-03-28T17:18:39.628732image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 2173
53.6%
0 1883
46.4%
ValueCountFrequency (%)
0 1883
46.4%
2 2173
53.6%
ValueCountFrequency (%)
2 2173
53.6%
0 1883
46.4%

Year_DM_Diagnosed
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct44
Distinct (%)2.0%
Missing1866
Missing (%)46.0%
Infinite0
Infinite (%)0.0%
Mean2000.347
Minimum1967
Maximum2013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-28T17:18:39.821830image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1967
5-th percentile1985
Q11996
median2002
Q32007
95-th percentile2011
Maximum2013
Range46
Interquartile range (IQR)11

Descriptive statistics

Standard deviation7.9505741
Coefficient of variation (CV)0.0039745974
Kurtosis0.34796469
Mean2000.347
Median Absolute Deviation (MAD)5
Skewness-0.82043237
Sum4380760
Variance63.211629
MonotonicityNot monotonic
2023-03-28T17:18:40.023744image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
2002 285
 
7.0%
2007 169
 
4.2%
1992 152
 
3.7%
1997 149
 
3.7%
2000 117
 
2.9%
2008 112
 
2.8%
2006 101
 
2.5%
2003 100
 
2.5%
2010 87
 
2.1%
2011 81
 
2.0%
Other values (34) 837
20.6%
(Missing) 1866
46.0%
ValueCountFrequency (%)
1967 1
 
< 0.1%
1970 1
 
< 0.1%
1972 2
 
< 0.1%
1973 3
 
0.1%
1974 1
 
< 0.1%
1975 1
 
< 0.1%
1976 1
 
< 0.1%
1977 8
0.2%
1978 1
 
< 0.1%
1979 3
 
0.1%
ValueCountFrequency (%)
2013 1
 
< 0.1%
2012 60
 
1.5%
2011 81
2.0%
2010 87
2.1%
2009 76
1.9%
2008 112
2.8%
2007 169
4.2%
2006 101
2.5%
2005 70
1.7%
2004 67
 
1.7%

DM_Duration
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct42
Distinct (%)1.9%
Missing1866
Missing (%)46.0%
Infinite0
Infinite (%)0.0%
Mean11.910046
Minimum0
Maximum45
Zeros30
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-28T17:18:40.234302image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q16
median10
Q316
95-th percentile27.55
Maximum45
Range45
Interquartile range (IQR)10

Descriptive statistics

Standard deviation7.8874935
Coefficient of variation (CV)0.66225552
Kurtosis0.39217643
Mean11.910046
Median Absolute Deviation (MAD)5
Skewness0.83482079
Sum26083
Variance62.212553
MonotonicityNot monotonic
2023-03-28T17:18:40.430238image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
10 342
 
8.4%
20 200
 
4.9%
15 173
 
4.3%
5 172
 
4.2%
12 115
 
2.8%
6 103
 
2.5%
7 91
 
2.2%
4 88
 
2.2%
2 88
 
2.2%
1 83
 
2.0%
Other values (32) 735
 
18.1%
(Missing) 1866
46.0%
ValueCountFrequency (%)
0 30
 
0.7%
1 83
2.0%
2 88
2.2%
3 78
1.9%
4 88
2.2%
5 172
4.2%
6 103
2.5%
7 91
2.2%
8 82
2.0%
9 40
 
1.0%
ValueCountFrequency (%)
45 1
 
< 0.1%
42 1
 
< 0.1%
40 5
 
0.1%
38 1
 
< 0.1%
37 2
 
< 0.1%
36 1
 
< 0.1%
35 7
0.2%
34 1
 
< 0.1%
33 9
0.2%
32 16
0.4%

DM_Type
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0729783
Minimum0
Maximum2
Zeros1867
Zeros (%)46.0%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-28T17:18:40.614965image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q32
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.99423721
Coefficient of variation (CV)0.92661446
Kurtosis-1.9730146
Mean1.0729783
Median Absolute Deviation (MAD)0
Skewness-0.14639868
Sum4352
Variance0.98850763
MonotonicityNot monotonic
2023-03-28T17:18:40.771180image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 2163
53.3%
0 1867
46.0%
1 26
 
0.6%
ValueCountFrequency (%)
0 1867
46.0%
1 26
 
0.6%
2 2163
53.3%
ValueCountFrequency (%)
2 2163
53.3%
1 26
 
0.6%
0 1867
46.0%

DM_Treatment
Real number (ℝ)

Distinct10
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.3454142
Minimum0
Maximum9
Zeros103
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-28T17:18:40.940750image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.75
Q15
median7
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.0141959
Coefficient of variation (CV)0.31742544
Kurtosis1.6499285
Mean6.3454142
Median Absolute Deviation (MAD)1
Skewness-1.4698797
Sum25737
Variance4.0569851
MonotonicityNot monotonic
2023-03-28T17:18:41.063967image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
7 1868
46.1%
8 896
22.1%
5 489
 
12.1%
3 338
 
8.3%
9 164
 
4.0%
0 103
 
2.5%
1 100
 
2.5%
4 63
 
1.6%
6 34
 
0.8%
2 1
 
< 0.1%
ValueCountFrequency (%)
0 103
 
2.5%
1 100
 
2.5%
2 1
 
< 0.1%
3 338
 
8.3%
4 63
 
1.6%
5 489
 
12.1%
6 34
 
0.8%
7 1868
46.1%
8 896
22.1%
9 164
 
4.0%
ValueCountFrequency (%)
9 164
 
4.0%
8 896
22.1%
7 1868
46.1%
6 34
 
0.8%
5 489
 
12.1%
4 63
 
1.6%
3 338
 
8.3%
2 1
 
< 0.1%
1 100
 
2.5%
0 103
 
2.5%

Smoking_History
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.92973373
Minimum0
Maximum4
Zeros982
Zeros (%)24.2%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-28T17:18:41.214081image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile2
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.67269708
Coefficient of variation (CV)0.72353735
Kurtosis0.70240273
Mean0.92973373
Median Absolute Deviation (MAD)0
Skewness0.51647871
Sum3771
Variance0.45252136
MonotonicityNot monotonic
2023-03-28T17:18:41.353767image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 2464
60.7%
0 982
 
24.2%
2 524
 
12.9%
3 85
 
2.1%
4 1
 
< 0.1%
ValueCountFrequency (%)
0 982
 
24.2%
1 2464
60.7%
2 524
 
12.9%
3 85
 
2.1%
4 1
 
< 0.1%
ValueCountFrequency (%)
4 1
 
< 0.1%
3 85
 
2.1%
2 524
 
12.9%
1 2464
60.7%
0 982
 
24.2%

HbA1C_Admission_Value
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct383
Distinct (%)14.9%
Missing1494
Missing (%)36.8%
Infinite0
Infinite (%)0.0%
Mean7.5875995
Minimum3.2
Maximum88.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-28T17:18:41.611068image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum3.2
5-th percentile4.9
Q15.9
median7
Q38.9575
95-th percentile11.9095
Maximum88.4
Range85.2
Interquartile range (IQR)3.0575

Descriptive statistics

Standard deviation2.7882207
Coefficient of variation (CV)0.36747072
Kurtosis274.90232
Mean7.5875995
Median Absolute Deviation (MAD)1.37
Skewness10.043542
Sum19439.43
Variance7.7741745
MonotonicityNot monotonic
2023-03-28T17:18:41.874051image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 144
 
3.6%
5.9 71
 
1.8%
5.7 69
 
1.7%
5.8 65
 
1.6%
5.3 53
 
1.3%
5.6 52
 
1.3%
5.5 52
 
1.3%
7 49
 
1.2%
5 48
 
1.2%
5.4 48
 
1.2%
Other values (373) 1911
47.1%
(Missing) 1494
36.8%
ValueCountFrequency (%)
3.2 1
 
< 0.1%
3.3 1
 
< 0.1%
3.5 1
 
< 0.1%
3.6 1
 
< 0.1%
3.75 1
 
< 0.1%
3.9 12
0.3%
4 23
0.6%
4.01 1
 
< 0.1%
4.1 4
 
0.1%
4.16 2
 
< 0.1%
ValueCountFrequency (%)
88.4 1
< 0.1%
20 1
< 0.1%
17.5 1
< 0.1%
16.6 1
< 0.1%
16 2
< 0.1%
15.8 1
< 0.1%
15.7 2
< 0.1%
15.4 1
< 0.1%
15.3 1
< 0.1%
15.2 2
< 0.1%

Lipid_24_Collected
Real number (ℝ)

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.85281065
Minimum0
Maximum2
Zeros599
Zeros (%)14.8%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-28T17:18:42.036763image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.35572748
Coefficient of variation (CV)0.41712363
Kurtosis1.9629583
Mean0.85281065
Median Absolute Deviation (MAD)0
Skewness-1.9594277
Sum3459
Variance0.12654204
MonotonicityNot monotonic
2023-03-28T17:18:42.219925image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 3455
85.2%
0 599
 
14.8%
2 2
 
< 0.1%
ValueCountFrequency (%)
0 599
 
14.8%
1 3455
85.2%
2 2
 
< 0.1%
ValueCountFrequency (%)
2 2
 
< 0.1%
1 3455
85.2%
0 599
 
14.8%

Heart_Rate
Real number (ℝ)

Distinct140
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85.193588
Minimum0
Maximum222
Zeros5
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-28T17:18:42.431812image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile57
Q171
median82
Q396
95-th percentile120
Maximum222
Range222
Interquartile range (IQR)25

Descriptive statistics

Standard deviation21.050612
Coefficient of variation (CV)0.2470915
Kurtosis3.2586474
Mean85.193588
Median Absolute Deviation (MAD)12
Skewness1.028859
Sum345545.19
Variance443.12824
MonotonicityNot monotonic
2023-03-28T17:18:42.641706image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80 299
 
7.4%
90 203
 
5.0%
70 202
 
5.0%
100 151
 
3.7%
78 136
 
3.4%
88 126
 
3.1%
75 118
 
2.9%
72 105
 
2.6%
85 101
 
2.5%
76 88
 
2.2%
Other values (130) 2527
62.3%
ValueCountFrequency (%)
0 5
0.1%
25 2
 
< 0.1%
27 1
 
< 0.1%
30 3
 
0.1%
34 2
 
< 0.1%
35 3
 
0.1%
36 2
 
< 0.1%
38 5
0.1%
40 11
0.3%
42 4
 
0.1%
ValueCountFrequency (%)
222 1
 
< 0.1%
220 1
 
< 0.1%
200 2
< 0.1%
187 1
 
< 0.1%
180 4
0.1%
175 1
 
< 0.1%
174 1
 
< 0.1%
172 2
< 0.1%
170 3
0.1%
168 3
0.1%

Waist
Real number (ℝ)

Distinct179
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97.575688
Minimum25
Maximum194
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-28T17:18:42.860958image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum25
5-th percentile72
Q188
median98
Q3109
95-th percentile124.25
Maximum194
Range169
Interquartile range (IQR)21

Descriptive statistics

Standard deviation17.336474
Coefficient of variation (CV)0.17767206
Kurtosis2.3468526
Mean97.575688
Median Absolute Deviation (MAD)10
Skewness-0.34776671
Sum395766.99
Variance300.55332
MonotonicityNot monotonic
2023-03-28T17:18:43.074775image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90 225
 
5.5%
100 172
 
4.2%
85 158
 
3.9%
110 151
 
3.7%
98 147
 
3.6%
105 132
 
3.3%
80 127
 
3.1%
88 123
 
3.0%
95 123
 
3.0%
102 111
 
2.7%
Other values (169) 2587
63.8%
ValueCountFrequency (%)
25 1
 
< 0.1%
27 1
 
< 0.1%
28 1
 
< 0.1%
30 2
 
< 0.1%
32 9
0.2%
33 4
0.1%
34 5
0.1%
35 1
 
< 0.1%
36 8
0.2%
37 1
 
< 0.1%
ValueCountFrequency (%)
194 1
 
< 0.1%
191 2
 
< 0.1%
165 1
 
< 0.1%
160 1
 
< 0.1%
155 1
 
< 0.1%
152 1
 
< 0.1%
150 4
0.1%
148 5
0.1%
147 1
 
< 0.1%
146 1
 
< 0.1%
Distinct1285
Distinct (%)31.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.6299144
Minimum0.33
Maximum17.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-28T17:18:43.364028image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.33
5-th percentile4.3
Q15.6615
median7.1
Q39.14
95-th percentile13
Maximum17.8
Range17.47
Interquartile range (IQR)3.4785

Descriptive statistics

Standard deviation2.8220822
Coefficient of variation (CV)0.36987076
Kurtosis0.93879528
Mean7.6299144
Median Absolute Deviation (MAD)1.6
Skewness0.78090987
Sum30946.933
Variance7.9641481
MonotonicityNot monotonic
2023-03-28T17:18:43.605015image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 82
 
2.0%
5.2 77
 
1.9%
5.6 70
 
1.7%
5 69
 
1.7%
4.8 55
 
1.4%
5.5 55
 
1.4%
6.2 54
 
1.3%
5.8 53
 
1.3%
5.4 53
 
1.3%
5.7 51
 
1.3%
Other values (1275) 3437
84.7%
ValueCountFrequency (%)
0.33 1
< 0.1%
0.38 1
< 0.1%
0.46 1
< 0.1%
0.47 1
< 0.1%
0.58 1
< 0.1%
0.61 1
< 0.1%
0.71 1
< 0.1%
0.81 1
< 0.1%
0.98 1
< 0.1%
1 1
< 0.1%
ValueCountFrequency (%)
17.8 1
 
< 0.1%
17.7 2
 
< 0.1%
17.62 1
 
< 0.1%
17.6 1
 
< 0.1%
17.4 2
 
< 0.1%
17.3 3
 
0.1%
17.2 3
 
0.1%
17.17 1
 
< 0.1%
17.07 1
 
< 0.1%
17 8
0.2%
Distinct816
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.7237163
Minimum0.07
Maximum15.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-28T17:18:43.971919image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.07
5-th percentile2.89
Q13.82
median4.6
Q35.5
95-th percentile6.93
Maximum15.7
Range15.63
Interquartile range (IQR)1.68

Descriptive statistics

Standard deviation1.3162881
Coefficient of variation (CV)0.27865519
Kurtosis3.3000863
Mean4.7237163
Median Absolute Deviation (MAD)0.8
Skewness0.80803421
Sum19159.393
Variance1.7326142
MonotonicityNot monotonic
2023-03-28T17:18:44.166393image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.3 83
 
2.0%
4.5 80
 
2.0%
5.2 74
 
1.8%
4.2 74
 
1.8%
4.6 73
 
1.8%
5.6 70
 
1.7%
4.9 68
 
1.7%
4.1 67
 
1.7%
4 66
 
1.6%
4.8 65
 
1.6%
Other values (806) 3336
82.2%
ValueCountFrequency (%)
0.07 1
 
< 0.1%
0.08 3
0.1%
0.1 2
< 0.1%
0.13 1
 
< 0.1%
0.16 1
 
< 0.1%
0.17 2
< 0.1%
0.18 1
 
< 0.1%
0.7 1
 
< 0.1%
1 1
 
< 0.1%
1.2 1
 
< 0.1%
ValueCountFrequency (%)
15.7 1
< 0.1%
13.74 1
< 0.1%
12.65 1
< 0.1%
11.8 2
< 0.1%
11.36 1
< 0.1%
11.29 1
< 0.1%
10.97 1
< 0.1%
10.12 1
< 0.1%
10 1
< 0.1%
9.91 1
< 0.1%
Distinct705
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6339415
Minimum0.01
Maximum17.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-28T17:18:44.404965image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.01
5-th percentile0.6
Q10.99
median1.399
Q31.96
95-th percentile3.5
Maximum17.6
Range17.59
Interquartile range (IQR)0.97

Descriptive statistics

Standard deviation1.1144582
Coefficient of variation (CV)0.68206736
Kurtosis34.29456
Mean1.6339415
Median Absolute Deviation (MAD)0.479
Skewness4.0431901
Sum6627.2669
Variance1.2420171
MonotonicityNot monotonic
2023-03-28T17:18:44.645882image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 108
 
2.7%
1.1 107
 
2.6%
1.2 107
 
2.6%
1.3 102
 
2.5%
1.5 100
 
2.5%
0.8 100
 
2.5%
0.9 98
 
2.4%
1.4 95
 
2.3%
1.6 92
 
2.3%
1.8 80
 
2.0%
Other values (695) 3067
75.6%
ValueCountFrequency (%)
0.01 6
0.1%
0.02 3
0.1%
0.03 1
 
< 0.1%
0.04 1
 
< 0.1%
0.1 1
 
< 0.1%
0.13 1
 
< 0.1%
0.14 1
 
< 0.1%
0.18 1
 
< 0.1%
0.2 1
 
< 0.1%
0.25 1
 
< 0.1%
ValueCountFrequency (%)
17.6 1
< 0.1%
17.4 1
< 0.1%
14.55 1
< 0.1%
11.56 1
< 0.1%
11.01 1
< 0.1%
10.59 1
< 0.1%
9.72 1
< 0.1%
9.14 1
< 0.1%
9 1
< 0.1%
8.88 1
< 0.1%

BMI
Real number (ℝ)

Distinct1237
Distinct (%)30.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.829796
Minimum13.34
Maximum96.88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-28T17:18:44.860657image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum13.34
5-th percentile21.5
Q124.92
median27.76
Q331.5525
95-th percentile39.4425
Maximum96.88
Range83.54
Interquartile range (IQR)6.6325

Descriptive statistics

Standard deviation5.8932327
Coefficient of variation (CV)0.20441465
Kurtosis7.8727604
Mean28.829796
Median Absolute Deviation (MAD)3.26
Skewness1.6722042
Sum116933.65
Variance34.730191
MonotonicityNot monotonic
2023-03-28T17:18:45.124634image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25.71 40
 
1.0%
27.68 38
 
0.9%
24.22 36
 
0.9%
29.41 30
 
0.7%
29.76 28
 
0.7%
31.25 27
 
0.7%
27.34 27
 
0.7%
25.95 26
 
0.6%
31.22 25
 
0.6%
28.73 24
 
0.6%
Other values (1227) 3755
92.6%
ValueCountFrequency (%)
13.34 1
< 0.1%
14.84 1
< 0.1%
15.78 1
< 0.1%
16.42 2
< 0.1%
16.44 1
< 0.1%
16.77 1
< 0.1%
16.82 2
< 0.1%
16.9 1
< 0.1%
17.04 1
< 0.1%
17.07 1
< 0.1%
ValueCountFrequency (%)
96.88 1
< 0.1%
69.25 1
< 0.1%
66.33 1
< 0.1%
65.38 1
< 0.1%
65.02 1
< 0.1%
63.57 1
< 0.1%
61.33 1
< 0.1%
57.78 1
< 0.1%
57.19 1
< 0.1%
57.16 1
< 0.1%

Creatinine_Clearance
Real number (ℝ)

Distinct3490
Distinct (%)86.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88.393495
Minimum5.21
Maximum1164.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-28T17:18:45.350755image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum5.21
5-th percentile25.7575
Q157.455
median82.84
Q3110.955
95-th percentile166.6775
Maximum1164.7
Range1159.49
Interquartile range (IQR)53.5

Descriptive statistics

Standard deviation52.864854
Coefficient of variation (CV)0.59806273
Kurtosis102.45995
Mean88.393495
Median Absolute Deviation (MAD)26.695
Skewness6.160552
Sum358524.01
Variance2794.6928
MonotonicityNot monotonic
2023-03-28T17:18:45.570261image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
83.2 6
 
0.1%
86.1 6
 
0.1%
110.7 4
 
0.1%
76.26 4
 
0.1%
76.16 4
 
0.1%
79.9 4
 
0.1%
67.65 4
 
0.1%
97.17 4
 
0.1%
51.98 3
 
0.1%
102.09 3
 
0.1%
Other values (3480) 4014
99.0%
ValueCountFrequency (%)
5.21 1
< 0.1%
5.24 1
< 0.1%
5.57 1
< 0.1%
5.7 1
< 0.1%
5.98 1
< 0.1%
6.18 1
< 0.1%
6.23 1
< 0.1%
6.29 1
< 0.1%
6.33 1
< 0.1%
6.39 1
< 0.1%
ValueCountFrequency (%)
1164.7 1
< 0.1%
1153.62 1
< 0.1%
875.43 1
< 0.1%
684.96 1
< 0.1%
626.18 1
< 0.1%
500.2 1
< 0.1%
460.63 1
< 0.1%
363.73 1
< 0.1%
321.8 1
< 0.1%
298.68 1
< 0.1%

Interactions

2023-03-28T17:18:30.293234image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:16:51.829680image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:16:55.985544image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:00.498281image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:04.875453image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:09.454696image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:14.069281image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:18.455203image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:22.884530image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:27.270700image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:31.988555image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:36.206309image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:40.598594image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:45.156649image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:49.268488image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:53.872692image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:58.277018image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:02.933307image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:07.261863image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:11.682188image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:16.296347image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:20.723155image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:25.374326image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:30.529636image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:16:51.976928image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:16:56.164355image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:00.683045image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:05.066333image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:09.650138image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:14.252397image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:18.663416image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:23.065067image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:27.490626image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:32.167267image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:36.380360image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:40.787475image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:45.316177image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:49.478696image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:54.065611image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:58.470342image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:03.091989image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:07.451278image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:11.852066image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:16.472959image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:20.933929image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:25.541142image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:30.719454image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:16:52.117624image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:16:56.303287image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:00.837709image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:05.227605image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:09.819872image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:14.412070image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:18.833556image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:23.238985image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:27.692586image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:32.365351image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:36.561918image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:40.973038image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:45.480743image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:49.652471image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:54.278400image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:58.664636image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:03.272805image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:07.630282image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:12.018516image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:16.650936image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:21.106760image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:25.701244image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:30.908259image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:16:52.334898image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:16:56.508360image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:01.021001image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:05.450408image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:10.018133image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:14.600129image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:19.005112image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:23.447693image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:27.875167image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:32.536799image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:36.718199image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:41.151106image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:45.638806image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:49.830953image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:54.459924image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:58.834155image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:03.455715image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:07.802931image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:12.198802image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:16.851081image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:21.290594image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:25.917974image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:31.112448image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:16:52.547465image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:16:56.692555image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:01.221781image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:05.654520image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:10.206125image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:14.830368image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:19.225888image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:23.669181image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:28.108316image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:32.725866image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:36.917748image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:41.363784image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:45.816687image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:50.045634image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:54.638749image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:59.021205image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:03.660935image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:07.997776image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:12.434865image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:17.076696image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:21.484437image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:26.096444image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:31.330761image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:16:52.768194image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:16:56.901756image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:01.412824image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:05.950180image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:10.401651image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:15.058223image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:19.417467image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:23.884890image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:28.321606image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:32.931211image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:37.110086image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:41.571282image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:45.994972image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:50.268511image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:54.827674image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:59.248016image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:03.866278image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:08.220513image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:12.663632image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:17.254936image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:21.697928image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:26.281380image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:31.525537image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:16:52.939140image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:16:57.091349image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:01.589651image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:06.126944image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:10.601902image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:15.283525image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:19.607432image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:24.127412image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:28.534299image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:33.102670image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:37.437266image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:41.764523image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:46.148317image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:50.461808image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:55.016324image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:59.426737image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:04.019910image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:08.397997image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:12.856119image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:17.436108image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:21.894276image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:26.449799image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:31.827533image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:16:53.125309image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:16:57.282050image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:01.785419image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:06.305106image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:10.782457image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:15.484554image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:19.766588image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:24.288802image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:28.742372image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:33.280822image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:37.585117image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:41.961883image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:46.320912image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:50.633266image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:55.191686image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:59.651633image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:04.248425image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:08.712400image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:13.027229image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:17.620204image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:22.103934image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:26.638905image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:31.972563image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:16:53.292966image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:16:57.444836image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:01.986499image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:06.491143image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:10.964205image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:15.654974image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:19.926626image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:24.455107image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:28.948782image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:33.449394image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:37.754688image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:42.166783image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:46.497317image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:50.847204image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:55.375300image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:59.839179image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:04.420570image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:08.882501image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:13.214891image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:17.795198image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:22.280384image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:26.825551image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:32.173715image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:16:53.472513image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:16:57.753700image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:02.154964image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:06.690701image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:11.179374image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:15.847423image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:20.120167image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:24.700104image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:29.149801image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:33.631247image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:37.954041image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:42.372899image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:46.680466image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:51.036436image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:55.569405image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:00.041698image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:04.625504image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:09.086539image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:13.418182image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:17.987730image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:22.482135image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:27.014536image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:32.356316image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:16:53.626765image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:16:57.961762image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:02.357291image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:06.864323image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:11.374438image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:16.035989image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:20.308501image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:24.901883image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:29.341494image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:33.814925image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:38.119998image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:42.564263image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:46.848205image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:51.208946image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:55.749774image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:00.242837image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:04.804679image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:09.259293image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:13.586505image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:18.186465image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:22.661651image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:27.212989image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:32.517249image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:16:53.807587image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:16:58.120005image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:02.533806image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:07.070749image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:11.530893image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:16.191624image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:20.482836image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:25.072173image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:29.636473image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:33.979648image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:38.278192image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:42.752125image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:47.009871image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:51.401827image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:55.924332image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:00.427794image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:04.989031image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:09.413352image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:13.783607image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:18.382870image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:22.845877image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:27.407602image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:32.742274image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:16:53.994044image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:16:58.308077image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:02.708457image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:07.272665image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:11.732411image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:16.386388image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:20.676988image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:25.264577image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:29.806926image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:34.181749image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:38.465647image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:42.962467image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:47.194163image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:51.589804image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:56.187858image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:00.760180image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:05.180059image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:09.647695image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:13.980604image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:18.584515image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:23.176393image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:27.621708image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:32.954605image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:16:54.160552image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:16:58.480894image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:02.885310image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:07.457896image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:11.944056image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:16.555954image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:20.872523image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:25.438300image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:29.978174image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:34.337265image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:38.637275image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:43.131925image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:47.368384image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:51.781241image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:56.337567image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:00.928986image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:05.337222image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:09.836400image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:14.166914image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:18.765554image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:23.323934image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:27.863672image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:33.159504image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:16:54.350475image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:16:58.703441image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:03.071188image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:07.665499image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:12.152550image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:16.750719image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:21.069550image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:25.613497image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:30.181643image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:34.528785image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:38.840889image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:43.345944image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:47.555736image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:52.009351image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:56.528840image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:01.128113image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:05.534863image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:10.033937image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:14.391577image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:18.974455image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:23.595461image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:28.113585image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:33.342589image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:16:54.544039image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:16:58.900170image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:03.278877image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:07.839330image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:12.336279image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:16.923041image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:21.228827image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:25.787208image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:30.380617image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:34.688896image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:38.985099image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:43.523833image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:47.705703image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:52.201778image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:56.712679image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:01.284564image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:05.709850image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:10.217969image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:14.596227image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:19.146887image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:23.785701image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:28.309122image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:33.545982image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:16:54.738849image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:16:59.097844image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:03.497481image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:08.061793image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:12.562519image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:17.123245image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:21.549019image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:26.017568image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:30.555946image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:34.894603image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:39.236447image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:43.717095image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:47.918828image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:52.426535image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:56.942955image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:01.521435image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:05.903789image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:10.407901image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:14.819622image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:19.354079image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:24.025235image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:28.562409image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:33.746833image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:16:54.899912image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:16:59.273147image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:03.664305image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:08.266327image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:12.746677image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:17.308563image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:21.735594image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:26.178133image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:30.734611image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:35.085860image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:39.438643image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:43.893200image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:48.102456image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:52.703192image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:57.149825image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:01.705319image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:06.069312image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:10.566102image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:14.987353image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:19.526186image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:24.207366image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:28.794584image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:33.923204image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:16:55.095282image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:16:59.479907image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:03.853607image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:08.459490image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:13.070383image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:17.501245image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:21.921567image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:26.365793image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:30.969642image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:35.270331image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:39.653119image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:44.089476image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:48.291499image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:52.886187image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:57.337264image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:01.920648image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:06.235571image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:10.740601image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:15.167226image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:19.718539image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:24.418619image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:29.060657image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:34.132138image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:16:55.260765image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:16:59.674713image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:04.037138image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:08.694742image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:13.263861image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:17.690514image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:22.117525image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:26.536820image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:31.149534image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:35.473772image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:39.870553image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:44.294078image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:48.481461image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:53.079172image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:57.516497image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:02.142000image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:06.485576image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:10.942545image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:15.375127image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:19.922049image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:24.618203image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:29.268945image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:34.390529image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:16:55.432960image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:16:59.908053image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:04.246569image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:08.897386image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:13.480171image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:17.902280image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:22.334896image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:26.732112image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:31.369325image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:35.666801image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:40.053893image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:44.480684image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:48.669072image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:53.280397image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:57.734320image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:02.364519image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:06.684408image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:11.158960image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:15.599548image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:20.106245image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:24.821895image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:29.505176image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:34.590248image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:16:55.621491image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:00.134360image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:04.480984image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:09.105818image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:13.672450image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:18.081389image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:22.521888image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:26.930521image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:31.591296image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:35.830758image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:40.250086image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:44.801225image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:48.858214image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:53.485185image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:57.943221image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:02.554187image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:06.914088image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:11.335361image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:15.911656image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:20.300780image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:25.006496image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:29.769789image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:34.796272image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:16:55.771181image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:00.304081image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:04.687429image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:09.279169image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:13.861751image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:18.268366image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:22.685635image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:27.085366image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:31.782795image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:36.005130image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:40.424491image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:44.968675image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:49.050551image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:53.678218image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:17:58.115725image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:02.736645image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:07.088829image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:11.485243image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:16.102220image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:20.530360image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:25.184352image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:18:30.027138image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Correlations

2023-03-28T17:18:45.774863image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
GenderAgeEducationWorkCardiac_Arrest_AdmissionNon_Cardiac_ConditionHypertensionDyslipidemiaDMYear_DM_DiagnosedDM_DurationDM_TypeDM_TreatmentSmoking_HistoryHbA1C_Admission_ValueLipid_24_CollectedHeart_RateWaistFasting_Blood_Glucose_Value_SI_UnitsCholesterol_Value_SI_UnitsTriglycerides_Value_SI_UnitsBMICreatinine_Clearance
Gender1.000-0.158-0.0070.3790.014-0.009-0.208-0.122-0.1640.091-0.092-0.1610.047-0.146-0.1270.067-0.130-0.035-0.092-0.006-0.002-0.1730.106
Age-0.1581.000-0.033-0.541-0.0020.0950.2580.1180.123-0.2980.3000.1330.0010.2600.029-0.0790.041-0.0980.027-0.162-0.213-0.150-0.634
Education-0.007-0.0331.0000.050-0.0190.007-0.009-0.039-0.0050.004-0.006-0.004-0.027-0.022-0.0130.0040.0070.003-0.0190.020-0.0150.0300.033
Work0.379-0.5410.0501.000-0.005-0.069-0.242-0.120-0.1670.211-0.211-0.1720.026-0.184-0.1030.056-0.0620.023-0.0680.1100.1280.0530.404
Cardiac_Arrest_Admission0.014-0.002-0.019-0.0051.0000.081-0.006-0.031-0.002-0.0150.012-0.0040.025-0.034-0.006-0.0380.054-0.0240.031-0.003-0.005-0.008-0.041
Non_Cardiac_Condition-0.0090.0950.007-0.0690.0811.0000.0570.0140.042-0.0530.0550.042-0.0030.029-0.001-0.0340.114-0.0190.014-0.054-0.021-0.021-0.169
Hypertension-0.2080.258-0.009-0.242-0.0060.0571.0000.3950.334-0.1120.1120.329-0.0380.1450.198-0.0080.0990.0860.121-0.1290.0090.107-0.228
Dyslipidemia-0.1220.118-0.039-0.120-0.0310.0140.3951.0000.327-0.0640.0690.323-0.0670.1100.2230.0150.0220.0820.108-0.0690.0820.096-0.098
DM-0.1640.123-0.005-0.167-0.0020.0420.3340.3271.000-0.0220.0260.988-0.0260.1020.668-0.0230.1150.1110.367-0.1120.1000.138-0.102
Year_DM_Diagnosed0.091-0.2980.0040.211-0.015-0.053-0.112-0.064-0.0221.000-0.9950.069-0.053-0.074-0.0930.095-0.064-0.044-0.0030.1690.078-0.1160.213
DM_Duration-0.0920.300-0.006-0.2110.0120.0550.1120.0690.026-0.9951.000-0.0660.0440.0770.085-0.0950.0600.0460.004-0.171-0.0790.110-0.217
DM_Type-0.1610.133-0.004-0.172-0.0040.0420.3290.3230.9880.069-0.0661.000-0.0220.1030.664-0.0210.1090.1090.365-0.1140.0950.136-0.110
DM_Treatment0.0470.001-0.0270.0260.025-0.003-0.038-0.067-0.026-0.0530.044-0.0221.000-0.025-0.081-0.013-0.003-0.104-0.011-0.011-0.003-0.0280.006
Smoking_History-0.1460.260-0.022-0.184-0.0340.0290.1450.1100.102-0.0740.0770.103-0.0251.0000.078-0.0050.022-0.0290.037-0.077-0.073-0.001-0.199
HbA1C_Admission_Value-0.1270.029-0.013-0.103-0.006-0.0010.1980.2230.668-0.0930.0850.664-0.0810.0781.000-0.0020.1140.1000.4670.0000.1780.1390.007
Lipid_24_Collected0.067-0.0790.0040.056-0.038-0.034-0.0080.015-0.0230.095-0.095-0.021-0.013-0.005-0.0021.000-0.0430.033-0.0380.0530.035-0.0220.054
Heart_Rate-0.1300.0410.007-0.0620.0540.1140.0990.0220.115-0.0640.0600.109-0.0030.0220.114-0.0431.000-0.0100.1520.014-0.0050.048-0.060
Waist-0.035-0.0980.0030.023-0.024-0.0190.0860.0820.111-0.0440.0460.109-0.104-0.0290.1000.033-0.0101.0000.067-0.0090.1290.5130.259
Fasting_Blood_Glucose_Value_SI_Units-0.0920.027-0.019-0.0680.0310.0140.1210.1080.367-0.0030.0040.365-0.0110.0370.467-0.0380.1520.0671.0000.0210.0950.107-0.008
Cholesterol_Value_SI_Units-0.006-0.1620.0200.110-0.003-0.054-0.129-0.069-0.1120.169-0.171-0.114-0.011-0.0770.0000.0530.014-0.0090.0211.0000.3830.0310.136
Triglycerides_Value_SI_Units-0.002-0.213-0.0150.128-0.005-0.0210.0090.0820.1000.078-0.0790.095-0.003-0.0730.1780.035-0.0050.1290.0950.3831.0000.1520.149
BMI-0.173-0.1500.0300.053-0.008-0.0210.1070.0960.138-0.1160.1100.136-0.028-0.0010.139-0.0220.0480.5130.1070.0310.1521.0000.380
Creatinine_Clearance0.106-0.6340.0330.404-0.041-0.169-0.228-0.098-0.1020.213-0.217-0.1100.006-0.1990.0070.054-0.0600.259-0.0080.1360.1490.3801.000

Missing values

2023-03-28T17:18:35.194690image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
A simple visualization of nullity by column.
2023-03-28T17:18:35.838924image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-03-28T17:18:36.161809image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

GenderAgeEducationWorkCardiac_Arrest_AdmissionNon_Cardiac_ConditionHypertensionDyslipidemiaDMYear_DM_DiagnosedDM_DurationDM_TypeDM_TreatmentSmoking_HistoryHbA1C_Admission_ValueLipid_24_CollectedHeart_RateWaistFasting_Blood_Glucose_Value_SI_UnitsCholesterol_Value_SI_UnitsTriglycerides_Value_SI_UnitsBMICreatinine_Clearance
015211001122003.010.0234NaN285.19358897.5923417.4247984.7274621.65492328.83215288.463903
10730000110NaNNaN070NaN175.00000060.0000007.0000005.3800001.85000020.00000024.120000
206440001122002.010.0251NaN1117.00000085.00000011.9300005.4000002.24000033.29000063.600000
305600000121988.024.02917.1082.00000085.0000004.4000004.7000001.30000031.220000114.240000
40780000100NaNNaN0715.6090.00000090.0000006.2000004.1100001.11000019.56000027.550000
51542000100NaNNaN0715.6175.00000091.0000004.0000005.2000002.20000023.05000092.370000
60542000000NaNNaN071NaN090.00000093.0000009.8140005.0720001.04800023.81000073.420000
70632000000NaNNaN071NaN1100.00000088.0000009.2340006.5000002.50000028.30000095.530000
816200001122000.012.02827.6150.000000107.0000007.7000004.0600001.15000027.18000078.880000
915900000122002.010.02408.01110.00000097.0000006.6120007.7400003.91000025.24000070.210000
GenderAgeEducationWorkCardiac_Arrest_AdmissionNon_Cardiac_ConditionHypertensionDyslipidemiaDMYear_DM_DiagnosedDM_DurationDM_TypeDM_TreatmentSmoking_HistoryHbA1C_Admission_ValueLipid_24_CollectedHeart_RateWaistFasting_Blood_Glucose_Value_SI_UnitsCholesterol_Value_SI_UnitsTriglycerides_Value_SI_UnitsBMICreatinine_Clearance
404617400001121987.025.02118.3188.090.610.8005.1401.10028.4156.50
40471764100100NaNNaN070NaN0140.070.07.9604.1781.32225.7134.66
404816152011121993.020.02817.4187.090.04.2005.1002.50029.7650.65
404905620001022004.08.02318.1062.0115.07.2007.4402.32033.12109.82
405014101001122006.07.0282NaN1106.079.012.2205.9001.90027.9788.77
405117520001122001.011.02518.8198.092.07.5004.6702.22023.5145.28
405215600200121996.015.028011.61120.093.07.9006.6601.53029.3983.77
405315540000022006.07.028011.61109.072.09.2003.9500.80022.8489.61
40541772000100NaNNaN071NaN1100.085.09.2206.7100.65022.0431.00
405517320001121987.025.0290NaN1100.0117.011.8744.1001.77029.0167.36